Sonification of Network Traffic Flow for Monitoring and Situational Awareness
Mohamed Debashi, Paul Vickers

TL;DR
This paper introduces SoNSTAR, a real-time sonification system that converts network traffic data into soundscapes, enhancing situational awareness for network administrators by enabling quick anomaly detection without visual monitoring.
Contribution
The paper presents a novel auditory monitoring system that maps TCP/IP traffic features to sounds, improving network situational awareness and reducing workload compared to traditional visual methods.
Findings
SoNSTAR improves anomaly detection speed.
Auditory monitoring reduces operator workload.
Supports real-time network traffic analysis.
Abstract
Maintaining situational awareness of what is happening within a network is challenging, not least because the behaviour happens within computers and communications networks, but also because data traffic speeds and volumes are beyond human ability to process. Visualisation is widely used to present information about the dynamics of network traffic dynamics. Although it provides operators with an overall view and specific information about particular traffic or attacks on the network, it often fails to represent the events in an understandable way. Visualisations require visual attention and so are not well suited to continuous monitoring scenarios in which network administrators must carry out other tasks. Situational awareness is critical and essential for decision-making in the domain of computer network monitoring where it is vital to be able to identify and recognize network…
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